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This paper introduces a novel intelligent biologically inspired computational method developed to facilitate the accurate assessment of geological hazard risk (GHR). The Hybrid Intelligent Algorithm (HIA) combines Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Back Propagation (BP) neural network. GA is adopted to initialize the network connection weights and thresholds of BP and PSO...
Gene prediction is still an important step to annotate genomes. In this paper, we proposed a novel method for recognizing gene in genomes. The method combines three famous gene-finding programs. After calculating the accuracy parameters, the equitable weight for each parameter is calculated using genetic algorithm. Then the integrative evaluation is performed. The integrative evaluation is employed...
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